{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"\n",
    "IQR(四分位数间距)=Q3-Q1。\n",
    "所有不在（Q1-1.5IQR，Q3+1.5IQR）的区间内的数为离群值，\n",
    "剩下的值最大的为最大值，最小的为最小值。\n",
    "\"\"\"\n",
    "# fake data\n",
    "np.random.seed(19680801)\n",
    "data = np.random.lognormal(size=(37, 4), mean=1.5, sigma=1.75)\n",
    "labels = list('ABCD')\n",
    "fs = 10  # fontsize\n",
    "\n",
    "# 箱线图默认不显示均值\n",
    "fig, axs = plt.subplots(nrows=2, ncols=3, figsize=(6, 6), sharey=True)\n",
    "axs[0, 0].boxplot(data)\n",
    "axs[0, 0].set_title('Default', fontsize=fs)\n",
    "axs[0, 0].set_xticklabels(labels)\n",
    "\n",
    "# 显示均值（点的形式）\n",
    "axs[0, 1].boxplot(data, showmeans=True)\n",
    "axs[0, 1].set_title('showmeans=True', fontsize=fs)\n",
    "axs[0, 1].set_xticklabels(labels)\n",
    "\n",
    "# 显示均值（线的形式）\n",
    "axs[0, 2].boxplot(data, showmeans=True, meanline=True)\n",
    "axs[0, 2].set_title('showmeans=True,\\nmeanline=True', fontsize=fs)\n",
    "axs[0, 2].set_xticklabels(labels)\n",
    "\n",
    "# 不显示箱体，不显示上下四分位线\n",
    "axs[1, 0].boxplot(data, showbox=False, showcaps=False)\n",
    "tufte_title = 'Tufte Style \\n(showbox=False,\\nshowcaps=False)'\n",
    "axs[1, 0].set_title(tufte_title, fontsize=fs)\n",
    "axs[1, 0].set_xticklabels(labels)\n",
    "\n",
    "# 以凹口的形式显示箱体\n",
    "axs[1, 1].boxplot(data, notch=True, bootstrap=10000)\n",
    "axs[1, 1].set_title('notch=True,\\nbootstrap=10000', fontsize=fs)\n",
    "axs[1, 1].set_xticklabels(labels)\n",
    "\n",
    "# 不显示异常值\n",
    "axs[1, 2].boxplot(data, showfliers=False)\n",
    "axs[1, 2].set_title('showfliers=False', fontsize=fs)\n",
    "axs[1, 2].set_xticklabels(labels)\n",
    "\n",
    "for ax in axs.flat:\n",
    "    ax.set_yscale('log')\n",
    "    ax.set_yticklabels([])\n",
    "\n",
    "fig.subplots_adjust(hspace=0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 给箱体上色\n",
    "np.random.seed(19680801)\n",
    "fruit_weights = [\n",
    "    np.random.normal(130, 10, size=100),\n",
    "    np.random.normal(125, 20, size=100),\n",
    "    np.random.normal(120, 30, size=100),\n",
    "]\n",
    "labels = ['peaches', 'oranges', 'tomatoes']\n",
    "colors = ['peachpuff', 'orange', 'tomato']\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.set_ylabel('fruit weight (g)')\n",
    "\n",
    "bplot = ax.boxplot(fruit_weights,\n",
    "                   patch_artist=True)# fill with color\n",
    "ax.set_xticklabels(labels)\n",
    "ax.set_title(\"给箱体上色\")\n",
    "\n",
    "# fill with colors\n",
    "for patch, color in zip(bplot['boxes'], colors):\n",
    "    patch.set_facecolor(color)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'label': 'A', 'mean': -0.0456395000600058, 'iqr': 8.278271090240217, 'cilo': -1.3028055129023663, 'cihi': 1.2965716094330622, 'whishi': 12.57241276331268, 'whislo': -13.573698530460156, 'fliers': array([-18.73103117]), 'q1': -3.975682797106952, 'med': -0.003116951734652068, 'q3': 4.302588293133265}, {'label': 'B', 'mean': -0.37196936490838, 'iqr': 9.200535229306043, 'cilo': -1.3916846619983716, 'cihi': 1.4972834000037258, 'whishi': 12.832609060204057, 'whislo': -16.28735140957817, 'fliers': array([-21.97037608]), 'q1': -4.63473520967098, 'med': 0.052799369002677225, 'q3': 4.565800019635063}, {'label': 'C', 'mean': 0.8689336387207608, 'iqr': 9.41736907945553, 'cilo': -0.6803858267419514, 'cihi': 2.276668064207085, 'whishi': 17.12823730439283, 'whislo': -17.531965922698305, 'fliers': array([-18.49224853, -20.601347  ]), 'q1': -3.5541924761172625, 'med': 0.7981411187325669, 'q3': 5.863176603338267}, {'label': 'D', 'mean': 0.0054647849280607015, 'iqr': 13.703565431260294, 'cilo': -2.50135850548457, 'cihi': 1.8015610399311623, 'whishi': 22.727850898341792, 'whislo': -24.723963513496862, 'fliers': array([], dtype=float64), 'q1': -6.8220706360501415, 'med': -0.34989873277670375, 'q3': 6.881494795210152}]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import cbook\n",
    "fig, axs = plt.subplots(nrows=1, ncols=2, figsize=(9, 4))\n",
    "\n",
    "# Fixing random state for reproducibility\n",
    "np.random.seed(19680801)\n",
    "\n",
    "\n",
    "# generate some random test data\n",
    "all_data = [np.random.normal(0, std, 100) for std in range(6, 10)]\n",
    "# 通过以下操作可以获得箱线图的相关数据\n",
    "stats = cbook.boxplot_stats(all_data, labels=['A', 'B', 'C', 'D'])\n",
    "print(stats)\n",
    "# plot violin plot\n",
    "axs[0].violinplot(all_data,\n",
    "                  showmeans=False,\n",
    "                  showmedians=True)\n",
    "axs[0].set_title('Violin plot')\n",
    "\n",
    "# plot box plot\n",
    "axs[1].boxplot(all_data)\n",
    "axs[1].set_title('Box plot')\n",
    "\n",
    "# adding horizontal grid lines\n",
    "for ax in axs:\n",
    "    ax.yaxis.grid(True)\n",
    "    ax.set_xticks([y + 1 for y in range(len(all_data))],\n",
    "                  labels=['x1', 'x2', 'x3', 'x4'])\n",
    "    ax.set_xlabel('Four separate samples')\n",
    "    ax.set_ylabel('Observed values')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 绘制小提琴图\n",
    "\"\"\"\n",
    "    小提琴图和箱线图表示的信息基本一致，但小提琴图的琴身能够表示出所有数据，\n",
    "    而箱线图的箱体和箱须只能表示出[Q1-1.5IQR,Q3+1.5IQR]范围内的数据点，\n",
    "    异常值在箱体外用点表示\n",
    "\"\"\"\n",
    "def adjacent_values(vals, q1, q3):\n",
    "    \"\"\"\n",
    "    对数据的上界和下界进行截断\n",
    "    \"\"\"\n",
    "    upper_adjacent_value = q3 + (q3 - q1) * 1.5\n",
    "    upper_adjacent_value = np.clip(upper_adjacent_value, q3, vals[-1])\n",
    "\n",
    "    lower_adjacent_value = q1 - (q3 - q1) * 1.5\n",
    "    lower_adjacent_value = np.clip(lower_adjacent_value, vals[0], q1)\n",
    "    return lower_adjacent_value, upper_adjacent_value\n",
    "\n",
    "\n",
    "def set_axis_style(ax, labels):\n",
    "    ax.set_xticks(np.arange(1, len(labels) + 1), labels=labels)\n",
    "    ax.set_xlim(0.25, len(labels) + 0.75)\n",
    "    ax.set_xlabel('Sample name')\n",
    "\n",
    "\n",
    "# create test data\n",
    "np.random.seed(19680801)\n",
    "data = [sorted(np.random.normal(0, std, 100)) for std in range(1, 5)]\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(9, 4), sharey=True)\n",
    "\n",
    "ax1.set_title('默认的小提琴图样式')\n",
    "ax1.set_ylabel('Observed values')\n",
    "ax1.violinplot(data)\n",
    "\n",
    "ax2.set_title('定制的小提琴图样式')\n",
    "parts = ax2.violinplot(\n",
    "        data, showmeans=False, showmedians=False,\n",
    "        showextrema=False)\n",
    "\n",
    "for pc in parts['bodies']:\n",
    "    pc.set_facecolor('#D43F3A')\n",
    "    pc.set_edgecolor('black')\n",
    "    pc.set_alpha(1)\n",
    "\n",
    "quartile1, medians, quartile3 = np.percentile(data, [25, 50, 75], axis=1)\n",
    "whiskers = np.array([\n",
    "    adjacent_values(sorted_array, q1, q3)\n",
    "    for sorted_array, q1, q3 in zip(data, quartile1, quartile3)])\n",
    "whiskers_min, whiskers_max = whiskers[:, 0], whiskers[:, 1]\n",
    "\n",
    "inds = np.arange(1, len(medians) + 1)\n",
    "ax2.scatter(inds, medians, marker='o', color='white', s=30, zorder=3)\n",
    "ax2.vlines(inds, quartile1, quartile3, color='k', linestyle='-', lw=5)\n",
    "ax2.vlines(inds, whiskers_min, whiskers_max, color='k', linestyle='-', lw=1)\n",
    "\n",
    "# set style for the axes\n",
    "labels = ['A', 'B', 'C', 'D']\n",
    "for ax in [ax1, ax2]:\n",
    "    set_axis_style(ax, labels)\n",
    "\n",
    "plt.subplots_adjust(bottom=0.15, wspace=0.05)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '使用seaborn绘制分组箱线图')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\events.py:82: UserWarning: Glyph 20351 (\\N{CJK UNIFIED IDEOGRAPH-4F7F}) missing from current font.\n",
      "  func(*args, **kwargs)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\events.py:82: UserWarning: Glyph 29992 (\\N{CJK UNIFIED IDEOGRAPH-7528}) missing from current font.\n",
      "  func(*args, **kwargs)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\events.py:82: UserWarning: Glyph 32472 (\\N{CJK UNIFIED IDEOGRAPH-7ED8}) missing from current font.\n",
      "  func(*args, **kwargs)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\events.py:82: UserWarning: Glyph 21046 (\\N{CJK UNIFIED IDEOGRAPH-5236}) missing from current font.\n",
      "  func(*args, **kwargs)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\events.py:82: UserWarning: Glyph 20998 (\\N{CJK UNIFIED IDEOGRAPH-5206}) missing from current font.\n",
      "  func(*args, **kwargs)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\events.py:82: UserWarning: Glyph 32452 (\\N{CJK UNIFIED IDEOGRAPH-7EC4}) missing from current font.\n",
      "  func(*args, **kwargs)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\events.py:82: UserWarning: Glyph 31665 (\\N{CJK UNIFIED IDEOGRAPH-7BB1}) missing from current font.\n",
      "  func(*args, **kwargs)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\events.py:82: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  func(*args, **kwargs)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\events.py:82: UserWarning: Glyph 22270 (\\N{CJK UNIFIED IDEOGRAPH-56FE}) missing from current font.\n",
      "  func(*args, **kwargs)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 20351 (\\N{CJK UNIFIED IDEOGRAPH-4F7F}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 29992 (\\N{CJK UNIFIED IDEOGRAPH-7528}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 32472 (\\N{CJK UNIFIED IDEOGRAPH-7ED8}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 21046 (\\N{CJK UNIFIED IDEOGRAPH-5236}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 20998 (\\N{CJK UNIFIED IDEOGRAPH-5206}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 32452 (\\N{CJK UNIFIED IDEOGRAPH-7EC4}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 31665 (\\N{CJK UNIFIED IDEOGRAPH-7BB1}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\付钰森\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 22270 (\\N{CJK UNIFIED IDEOGRAPH-56FE}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "plt.rcParams['axes.unicode_minus'] = False \n",
    "sns.set_style('whitegrid', {'font.sans-serif': ['simhei','FangSong']})\n",
    "sns.set_theme(style=\"ticks\", palette=\"pastel\")\n",
    "\n",
    "# Load the example tips dataset\n",
    "tips = sns.load_dataset(\"tips\")\n",
    "\n",
    "# Draw a nested boxplot to show bills by day and time\n",
    "ax = sns.boxplot(x=\"day\", y=\"total_bill\",\n",
    "            hue=\"smoker\", palette=[\"m\", \"g\"],\n",
    "            data=tips)\n",
    "sns.despine(offset=10, trim=True)\n",
    "ax.set_title(\"使用seaborn绘制分组箱线图\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 用seaborns绘制带有所有观测值的水平箱线图\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "sns.set_theme(style=\"ticks\")\n",
    "\n",
    "# Initialize the figure with a logarithmic x axis\n",
    "f, ax = plt.subplots(figsize=(7, 6))\n",
    "ax.set_xscale(\"log\")\n",
    "\n",
    "# Load the example planets dataset\n",
    "planets = sns.load_dataset(\"planets\")\n",
    "\n",
    "# Plot the orbital period with horizontal boxes\n",
    "sns.boxplot(\n",
    "    planets, x=\"distance\", y=\"method\", hue=\"method\",\n",
    "    whis=[0, 100], width=.6, palette=\"vlag\"\n",
    ")\n",
    "\n",
    "# Add in points to show each observation\n",
    "sns.stripplot(planets, x=\"distance\", y=\"method\", size=4, color=\".3\")\n",
    "\n",
    "# Tweak the visual presentation\n",
    "ax.xaxis.grid(True)\n",
    "ax.set(ylabel=\"\")\n",
    "sns.despine(trim=True, left=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Use seaborn to plot violin plots')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set_theme(style=\"dark\")\n",
    "\n",
    "# Load the example tips dataset\n",
    "tips = sns.load_dataset(\"tips\")\n",
    "\n",
    "# Draw a nested violinplot and split the violins for easier comparison\n",
    "ax = sns.violinplot(data=tips, x=\"day\", y=\"total_bill\", hue=\"smoker\",\n",
    "               split=True, inner=\"quart\", fill=False,\n",
    "               palette={\"Yes\": \"g\", \"No\": \".35\"})\n",
    "ax.set_title(\"Use seaborn to plot violin plots\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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